Applying Business Intelligence and Analytics to Clinical Costing Data

2019 ◽  
pp. 54-86
Author(s):  
Martin Hugo Rennhackkamp ◽  
Graeme K Hart
Keyword(s):  
Data Visualization ◽  
Business Intelligence ◽  
Clinical Performance ◽  
Financial Data ◽  
Data Governance ◽  
Healthcare Organizations ◽  
Reporting Requirements ◽  
Advanced Analytics

Most healthcare organizations would like to provide actionable information to the managers of their various service lines. Bringing administrative, clinical, and financial data together is critical to operating the service lines efficiently. It also presents a strategic advantage, as the applications of funding are more closely monitored, and regulatory reporting requirements increase. With a clearer picture of their financial and clinical performance together, organizations are better prepared to put efficient strategies in place to meet their goals and demonstrate value. However, that requires thorough planning and forward-thinking leadership. This chapter discusses approaches to how organizations can empower their stakeholders by providing them with integrated clinical and costing data. It addresses how business intelligence supports the management and reporting of clinical costing data, the utilization of data visualization and advanced analytics, the importance of data governance, and the role of a BI strategy, illustrated throughout with a case study.

scholarly journals Mining Open Government Data for Business Intelligence Using Data Visualization: A Two-Industry Case Study

2021 ◽  
Vol 16 (4) ◽  
pp. 1042-1065
Author(s):  
Anne Gottfried ◽  
Caroline Hartmann ◽  
Donald Yates
Keyword(s):  
Data Visualization ◽  
Business Intelligence ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Open Government ◽  
Open Government Data ◽  
Market Opportunities ◽  
Government Data ◽  
Source Of Information

The business intelligence (BI) market has grown at a tremendous rate in the past decade due to technological advancements, big data and the availability of open source content. Despite this growth, the use of open government data (OGD) as a source of information is very limited among the private sector due to a lack of knowledge as to its benefits. Scant evidence on the use of OGD by private organizations suggests that it can lead to the creation of innovative ideas as well as assist in making better informed decisions. Given the benefits but lack of use of OGD to generate business intelligence, we extend research in this area by exploring how OGD can be used to generate business intelligence for the identification of market opportunities and strategy formulation; an area of research that is still in its infancy. Using a two-industry case study approach (footwear and lumber), we use latent Dirichlet allocation (LDA) topic modeling to extract emerging topics in these two industries from OGD, and a data visualization tool (pyLDAVis) to visualize the topics in order to interpret and transform the data into business intelligence. Additionally, we perform an environmental scanning of the environment for the two industries to validate the usability of the information obtained. The results provide evidence that OGD can be a valuable source of information for generating business intelligence and demonstrate how topic modeling and visualization tools can assist organizations in extracting and analyzing information for the identification of market opportunities.

Strategy, Action Plan, and Approaches for Business Intelligence in Banking and Mining

2019 ◽  
pp. 305-325
Author(s):  
Hafeez Niazi
Keyword(s):  
Data Quality ◽  
Data Visualization ◽  
Business Intelligence ◽  
Success Factors ◽  
Action Plan ◽  
Study Analysis ◽  
Key Factors ◽  
Case Study Analysis ◽  
Critical Success

This case study will analyze the critical success factors and key matters related to the deployment of BI deployment in different organizations. Different organizations have different approaches to making BI available for different business users, divisions, and departments. Data visualization is also one of the important factors which will provide user better reflection of data rather than make them confuse about organization data with too much information in the reports and dashboards. Data quality and diverse standards, which make BI famous in the different organizations, are also analyzed during the investigation of both organizations used in this case study. The case study analysis also shows how BI maturity, governance, and framework are key factors involved in the successful deployment of the BI in different organizations.

BISC

2016 ◽  
pp. 501-518
Author(s):  
Atieh Dokhanchi ◽  
Eslam Nazemi
Keyword(s):  
Performance Management ◽  
Business Intelligence ◽  
Enterprise Architecture ◽  
Interdisciplinary Work ◽  
Corporate Strategies ◽  
Strategic Role ◽  
Architecture Frameworks ◽  
And Performance

Despite the importance and the strategic role of Business Intelligence (BI) in organizations and its key impact on successfully executing corporate strategies, in most cases, strategic planning and performance management projects are done independently from BI projects, therefore a holistic and an integrated framework has been proposed in this paper for aligning Business Intelligence initiatives with corporate strategies. This framework as an interdisciplinary work borrows the approach of the Enterprise Architecture frameworks and its structured logical thinking about the organization and was refined through gathering and analyzing expert's opinions. This paper also uses a case study in one bank with the aim of clarifying the application of the proposed framework.

Incorporating External Data Into a BI Solution at a Public Waste Management Organization

2019 ◽  
Vol 10 (2) ◽  
pp. 36-56
Author(s):  
Mattias Strand ◽  
Anna Syberfeldt
Keyword(s):  
Waste Management ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Data Selection ◽  
Source Characteristics ◽  
External Data ◽  
Advanced Analytics ◽  
Management Organization ◽  
Action Case

Organizations are showing an increasing interest in incorporating external data into their business intelligence solutions. Such data allows for advanced analytics and enables more comprehensive and inclusive decision-making. However, external data incorporation is relatively unexplored in the literature, and scientifically published details on up-and-running BI solutions are very sparse. In addition, published literature concerning the incorporation of external data into BI solutions is often rather synoptic or rather old (originating from data warehouse related literature). Therefore, the authors present the results of an action case study at a public waste management organization, illustrating detailed aspects of external data incorporation related to the back-end of the solution such as data selection, source characteristics, acquisition technologies and frequencies, and integration approaches. Given that the external origin of the data poses specific problems that must be overcome in order to allow for successful incorporation initiatives, special attention was paid to such problems.

scholarly journals The Significance of Financial Analysis Methods in the Rationalization of Investment Decisions in Stock Market – The Case of Khartoum Stock Exchange, During the Period from 2014  to 2018 –: أهمية استخدام أساليب التحليل المالي في ترشيد قرارات الاستثمار في سوق الأوراق المالية – دراسة حالة سوق الخرطوم للأوراق المالية خلال الفترة 2014 - 2018 –

2020 ◽  
Vol 4 (10) ◽  
Author(s):  
Mustafa Mohammed Zain, Asim Hassan Mohammed
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Financial Analysis ◽  
Stock Exchange ◽  
Investment Decisions ◽  
Financial Statements ◽  
Financial Data ◽  
Descriptive Approach

This research aimed primarily to clarify the extent of the significance of financial analysis tools in the rationalization of investors’ decisions in the Khartoum Stock Exchange. This is, however, will be effected by identifying the role of financial analysis using financial ratios to provide information to make a sound decision. To achieve this objective, the research used the analytical descriptive approach, since the same conforms to such types of researches. To affect this, the research relied basically on the annual financial data of the case study. Based on said account, the research has reached a number of findings, the most significant of which, are the following: The utilization of trend analysis reporting in the Khartoum Stock Exchange has a great significance in the performance evaluation of the stock market. The liquidity ratios as a tool for financial statements analysis deemed as a perfect indicator in the process of decision making in the stock market. The debt ratios are the most significant tools in the financial analysis of the published financial statements, which help investors to take sound investment decisions.

scholarly journals Business Intelligence and Analytics: Paving way for Operational Excellence in Indian Banks

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Rekha Mishra
Keyword(s):  
Business Intelligence ◽  
Banking Industry ◽  
Banking System ◽  
Decision Makers ◽  
Case Study Analysis ◽  
Major Transformation ◽  
Indian Banks ◽  
Operational Excellence

<em>India’s banking industry is undergoing through a phase of major transformation, with entry of more players in an already competitive environment and as a result one common theme being seen across banks in India is increased adoption of business intelligence (BI) and analytics to drive their overall profitability. Can Business Intelligence and analytics assist in resolving some of the issues faced by modern day banks in India? This study explored Business Intelligence and Analytics application in Indian Banks using focused interviews, press release, bank website review and case study analysis. The study found tools and technologies being used and various areas of BI application in banks. It also found the areas in need of improvement, issues and challenges faced by Indian Banks in their BI and analytics implementation agenda. It is hoped that this study will serve as a knowledge base about BI and analytics in Indian bank and would assist managers, decision makers and researcher in making better informed decision. The study also provides the scope for further research in the role of Business Intelligence and Analytics in Indian Banking system.</em>

BISC

2015 ◽  
Vol 11 (2) ◽  
pp. 90-106 ◽  
Author(s):  
Atieh Dokhanchi ◽  
Eslam Nazemi
Keyword(s):  
Performance Management ◽  
Business Intelligence ◽  
Enterprise Architecture ◽  
Interdisciplinary Work ◽  
Corporate Strategies ◽  
Strategic Role ◽  
Architecture Frameworks ◽  
And Performance

Despite the importance and the strategic role of Business Intelligence (BI) in organizations and its key impact on successfully executing corporate strategies, in most cases, strategic planning and performance management projects are done independently from BI projects, therefore a holistic and an integrated framework has been proposed in this paper for aligning Business Intelligence initiatives with corporate strategies. This framework as an interdisciplinary work borrows the approach of the Enterprise Architecture frameworks and its structured logical thinking about the organization and was refined through gathering and analyzing expert's opinions. This paper also uses a case study in one bank with the aim of clarifying the application of the proposed framework.

scholarly journals It Takes Two to Tango

2010 ◽  
Vol 1 (1) ◽  
pp. 23-41
Author(s):  
Ton A.M. Spil ◽  
Tijs van den Broek ◽  
Hannu T.T. Salmela
Keyword(s):  
Healthcare Organizations ◽  
Strategic Information ◽  
Business Partners ◽  
Strategic Information Systems Planning ◽  
Systems Planning ◽  
First Case ◽  
Contractual Agreements ◽  
Information Systems Planning

The view of evaluating Strategic Information Systems Planning (Grover & Segars, 2005) process and effectiveness has matured. However, the inter-organizational view or network view is understudied. The introduction of information strategy in networks seems more reactive than proactive; many organizations continue to use SISP as a way to support their internal decision-making process without actually cooperating with their business partners. This article aims to qualitatively explore and validate, respectively, context and process dimensions in two inter-organizational cases: a network of municipalities in Finland and a network of healthcare organizations in the Netherlands. The first case study explores the network context and theorizes how network context influences inter-organizational SISP, discovering that the inter-organisational SISP process is influenced by the context, especially by the role of trust and complexity. The second case study is the exploration of three process dimensions: contingency, certainty and contractual agreements.

Sign in / Sign up

Export Citation Format

Share Document